Winter 2007
Course meets:
Tuesday and Thursday 4:10-5:30, 1060 East Hall.
Instructor: Sergey Fomin, 2858 East Hall, 764-6297, fomin@umich.edu
Office hours: Tuesday 5:40-7:00 and Thursday 11:40-1:00 in 2858 East Hall.
Grader: Paul Siegel, siegelp@umich.edu.
Course homepage: http://www.math.lsa.umich.edu/~fomin/525w07.html
Text (required): Geoffrey Grimmett and David Stirzaker, Probability and Random Processes, 3rd edition, Oxford University Press, 2001.
Where can I buy this textbook?
Supplementary texts (not required):
Geoffrey Grimmett and David Stirzaker,
One Thousand Exercises in Probability,
2nd edition, Oxford University Press, 2001.
Sheldon Ross,
Introduction to Probability Models,
8th/9th edition, Academic Press, 2002/2006.
Sheldon Ross,
A First Course in Probability,
6th/7th edition, Prentice-Hall, 2002/2006.
Prerequisites: Math 450 or Math 451 (preferred) and some exposure to elementary probability and combinatorics.
From departmental course description:
This introductory course in probability theory is more theoretical than
Math 425, and requires a stronger mathematical background. No measure
theory is assumed.
Topics include: probability spaces, discrete and continuous random
variables, joint distributions and conditional expectations,
characteristic functions, central limit theorem, random walk.
Grade will be based on two 1.5-hour midterm exams, 30% each;
40% homework and quizzes.
Your lowest homework/quiz score will be dropped.
This course will not be graded on a curve, i.e., there are not a set number of each grade to be given out. Every student with the total score of 90% (resp., 80%, 70%, 60%) is guaranteed the final grade of A (resp., B or higher, C or higher, D or higher).
The midterm exams are held in class. No makeups will be given.
Exams are closed book, closed notebook.
You will be allowed to bring a
3-by-5 index card to the 1st midterm, and two such cards to the 2nd
midterm.
First midterm: March 6.
Second midterm: April 17.
Exam preparation: see below for practice problems and other
potentially useful links
Other online resources:
Virtual Laboratories in Probability and Statistics
List of web resources in statistics and probability
Basic counting techniques
Proof of Stirling's formula
January 11:
1.2.3, 1.3.3, 1.3.4, 1.4.3, 1.4.7, 1.8.12,
1.8.22, 1.8.24, 1.8.28
January 18:
1.5.7, 1.5.9, 1.7.1, 1.7.3, 1.7.5, 1.8.20, 1.8.21, 1.8.35, 1.8.39
January 25:
2.7.15, 3.1.1(a,b,d), 3.1.3, 3.2.1, 3.2.2(a,b,c), 3.2.4(a)
February 1:
3.3.2, 3.5.1, 3.11.7, 3.11.11, 3.11.13(b), 3.11.21(a), 3.11.24
February 8:
3.3.3, 3.4.3, 3.4.8, 3.6.8, 3.11.8, 3.11.12, 3.11.16
February 15:
3.6.3, 3.7.4, 3.7.5(b), 3.11.4, 3.11.6(b)
March 8, 15:
4.1.1(a), 4.1.2, 4.2.2, 4.3.3 (r=1),
4.13.14, 5.8.9(a), 5.10.1(a),
5.12.25(a), 5.12.33(a)
March 22:
4.4.3, 4.4.5, 4.7.3, 4.7.4(a), 4.7.13
(1st part), 5.10.2, 5.12.5 (1st part)
March 29:
4.5.4, 4.7.7(c), 4.7.11, 4.8.3, 4.14.7,
4.14.54, 4.14.55 (1st part)
April 5:
4.6.1, 4.6.4, 4.6.9, 4.7.8, 4.7.10
Preparing for the Second Exam:
The exam will roughly cover Sections 4.1-4.8, 5.7-5.10 in
Grimmett and Stirzaker.
Besides the practice problems listed above,
I recommend problems 29-39, 41, 43-45, 48-49, 52-53 in this set of exercises.
The answers can be found here.
This web page
has some complete solutions, and a couple of old exams.